Adaptive Protocols to Improve TCP/IP Performance in an LMDS Network using a Broadband Channel Sounder

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Abstract

Virginia Tech researchers have developed a broadband channel sounder that can
measure channel quality while a wireless network is in operation. Channel measurements
from the broadband sounder hold the promise of improving TCP/IP performance by
trigging configuration changes in an adaptive data link layer protocol. We present an
adaptive data link layer protocol that can use different levels of forward error correction
(FEC) codes and link layer automatic retransmission request (ARQ) to improve network
and transport layer performance.

Using a simulation model developed in OPNET, we determine the effects of
different data link layer protocol configurations on TCP/IP throughput and end-to-end
delay using a Rayleigh fading channel model. Switching to higher levels of FEC
encoding improves TCP/IP throughput for high bit error rates, but increases end-to-end
delay of TCP/IP segments. Overall TCP/IP connections with link layer ARQ showed
approximately 150 Kbps greater throughput than without ARQ, but lead to the highest
end-to-end delay for high bit error rate channels.

Based on the simulation results, we propose algorithms to maximize TCP/IP
throughput and minimize end-to-end delay using the current bit error rate of the channel.
We propose a metric, carrier-to-interference ratio (CIR) that is calculated from data
retrieved from the broadband channel sounder. We propose algorithms using the carrier-to-interference ratio to control TCP/IP throughput and end-to-end delay.

The thesis also describes a monitor program to use in the broadband wireless
system. The monitor program displays data collected from the broadband sounder and
controls the settings for the data link layer protocol and broadband sounder while the
network is in operation.